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Matplotlib for Python Developers

You're reading from   Matplotlib for Python Developers Python developers who want to learn Matplotlib need look no further. This book covers it all with a practical approach including lots of code and images. Take this chance to learn 2D plotting through real-world examples.

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Product type Paperback
Published in Nov 2009
Publisher Packt
ISBN-13 9781847197900
Length 308 pages
Edition 1st Edition
Languages
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Toc

Table of Contents (14) Chapters Close

Matplotlib for Python Developers
Credits
About the Author
About the Reviewers
1. Preface
1. Introduction to Matplotlib FREE CHAPTER 2. Getting Started with Matplotlib 3. Decorate Graphs with Plot Styles and Types 4. Advanced Matplotlib 5. Embedding Matplotlib in GTK+ 6. Embedding Matplotlib in Qt 4 7. Embedding Matplotlib in wxWidgets 8. Matplotlib for the Web 9. Matplotlib in the Real World

Plotting data from the Web


Often, the information we need is not distributed in an easy-to-use format such as XML or a database export but for example only on web sites.

More and more often we find interesting data on a web page, and in that case we have to parse it to extract that information: this is called web scraping.

In this example, we will parse a Wikipedia article to extracts some data to plot. The article is at http://it.wikipedia.org/wiki/Demografia_d'Italia and contains lots of information about Italian demography (it's in Italian because the English version lacks a lot of data); in particular, we are interested in the population evolution over the years.

Probably the best known Python module for web scraping is BeautifulSoup ( http://www.crummy.com/software/BeautifulSoup/). It's a really nice library that gets the job done quickly, but there are situations (in particular with JavaScript embedded in the web page, such as for Wikipedia) that prevent it from working.

As an alternative...

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83
Tech Concepts
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Programming languages
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